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Rocco Moretti

2 accepted papers

2024

WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking

NeurIPS 2024poster

While deep learning has revolutionized computer-aided drug discovery, the AI community has predominantly focused on model innovation and placed less emphasis on establishing best benchmarking practices. We posit that without a sound model evaluation framework, the AI community's efforts cannot reac…

Cited by 0SourcePDFScholar
2023

Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery

AAAI 2023technical

In computer-aided drug discovery, quantitative structure activity relation models are trained to predict biological activity from chemical structure. Despite the recent success of applying graph neural network to this task, important chemical information such as molecular chirality is ignored. To fi…